We study investment and consumption decisions in a dynamic game under learning. To that end, we present a model in which agents not only extract a resource for consumption, but also invest in technology to improve the future stock. At the same time, the agents learn about the stochastic process...

To isolate the impact of the assumption of model-consistent expectations, this paper proposes a baseline case in which households are individually rational, have full information and learn using forecast rules specified as in the minimum state variable representation of the economy. Applying...

We introduce learning in a dynamic game of international pollution, with ecological uncertainty. We characterize and compare the feedback non-cooperative emissions strategies of players when the players do not know the distribution of ecological uncertainty but they gain information (learn)...

I develop an equilibrium model with collateral constraints in which rational agents are uncertain and learn about the equilibrium mapping between fundamentals and collateral prices. Bayesian updating of beliefs by agents can endogenously generate booms and busts in collateral prices and largely...

In an asset-pricing model, risk-averse agents need to forecast the conditional variance of a stock's return. A near-rational restricted perceptions equilibrium exists in which agents believe prices follow a random walk with a conditional variance that is self-fulfilling. When agents estimate...

The present paper draws on the main issues in the production of scientific knowledge based upon grounded theory in management accounting research. This piece of work is a bibliographic study confronting grounded theory practices with the expectations of its founders (Glaser et Strauss, 1967; Strauss...

In this paper I consider a dynamically complete market model without intrinsic uncertainty. The only uncertainty is modelled by sunspots. Agents' beliefs are heterogeneous, but eventually become homogeneous in the sense that agents' beliefs are identical in the limit. I show that if some states...

This paper presents a model that distinguishes between decentralized information processing and decentralized decision making in organizations; it shows that decentralized decision making can be advantageous due to computational delay, even in the absence of communication costs. The key feature...

We use a model of real-time decentralized information processing to understand how constraints on human information processing affect the returns to scale of organizations. We identify three informational (dis)economies of scale: diversification of heterogeneous risks (positive), sharing of...